Journal
RHEUMATOLOGY
Volume 54, Issue 7, Pages 1137-1140Publisher
OXFORD UNIV PRESS
DOI: 10.1093/rheumatology/ket146
Keywords
linear regression; predicted value; residual; linear regression diagnostics; regression coefficient; goodness of fit; linearity; normality
Categories
Funding
- Arthritis Research UK [17552]
Ask authors/readers for more resources
In many studies we wish to assess how a range of variables are associated with a particular outcome and also determine the strength of such relationships so that we can begin to understand how these factors relate to each other at a population level. Ultimately, we may also be interested in predicting the outcome from a series of predictive factors available at, say, a routine clinic visit. In a recent article in Rheumatology, Desai et al. did precisely that when they studied the prediction of hip and spine BMD from hand BMD and various demographic, lifestyle, disease and therapy variables in patients with RA. This article aims to introduce the statistical methodology that can be used in such a situation and explain the meaning of some of the terms employed. It will also outline some common pitfalls encountered when performing such analyses.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available